| Autor: |
JOHN, DONEY BIJU, GOPAN, AISHWARIYA, NGASSA, ANNE PALVINY NJOMO, TANBOUR, WALEED RAGHEB, LUNA, NACHON |
| Předmět: |
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| Zdroj: |
Vilnius University Proceedings; 2023, Vol. 41, p52-52, 1p |
| Abstrakt: |
Our Smart Home Automation Hub project aimed to revolutionize the smart home experience by providing a centralized platform for seamless integration and control of various devices, including lights, thermostats, security systems, and entertainment units. We addressed the challenge of managing the increasing number of smart devices in modern homes to simplify and enhance the user experience. Our key tasks included ensuring device compatibility across manufacturers, developing a user-friendly mobile app for intuitive control, and fostering efficient team collaboration. Motivated by the growing need for a user-friendly and integrated smart home solution, we planned the system design including innovative machine learning models for predictive automation, leveraged cutting-edge technologies like voice recognition and IoT protocols, and aimed to outperform competitors with an adaptable Smart Home Automation Hub. The results, featuring advanced machine learning models for predictive automation, high precision in device integration, voice-activated controls for a hands-free experience, and a userfriendly mobile app with an intuitive interface for easy customization and control of the smart home. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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